The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
InfoQ

OpenTelemetry Declarative Configuration Reaches Stability Milestone

The OpenTelemetry project has announced that key portions of its declarative configuration specification have reached stable ...
IEEE

Deterministic Branch and Cut Algorithm for Multiobjective Optimization of Protective Device Allocation in Radial Distribution Systems

Abstract: Installing protective devices enhances reliability of power distribution systems by means of failure separation. Finding optimal positions of protective devices to minimize a given objective ...
IEEE

Unscented Kalman Filter using Optimal Quantization

Abstract: This paper presents a novel approach to deal with nonlinear filtering by augmenting an Unscented Kalman Filter (UKF) with an Optimal quantization algorithm, named OQ-UKF. The Unscented ...
GitHub

Integration: OraClaw — 19 deterministic ML algorithms for AutoGen agents

I built OraClaw — a decision intelligence API with 19 production-grade ML algorithms (bandits, solvers, forecasters, risk models). Why it fits AutoGen: Multi-agent conversations about optimization ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...